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Robotic governance

Robotic governance is a engineering topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Robotic governance rather than just read about it. In short: Robotic governance provides a regulatory framework to deal with autonomous and intelligent machines. This includes research and development activities as well as handling of these machines.

Key takeaways

  • Robotic governance belongs to engineering; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Robotic governance to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Robotic governance from memory before moving on to harder problems.

Reference excerpt

Robotic governance provides a regulatory framework to deal with autonomous and intelligent machines. This includes research and development activities as well as handling of these machines. The idea is related to the concepts of corporate governance, technology governance and IT-governance, which provide a framework for the management of organizations or the focus of global IT infrastructure. Robotic governance describes the impact of robotics, automation technology and artificial intelligence on society from a holistic, global perspective, considers implications and provides recommendations for actions in a Robot Manifesto. This is realized by the Robotic Governance Foundation, an international non-profit organization. The robotic governance approach is based on the German research on discourse ethics. Therefore, the discussion should involve all Stakeholders, including scientists, society, religion, politics, industry as well as labor unions in order to reach a consensus on how to shape the future of robotics and artificial intelligence. The compiled framework, the so-called Robot Manifesto, will provide voluntary guidelines for a self-regulation in the fields of research, development as well as use and sale of autonomous and intelligent systems. The concept does not only appeal on the responsibility of researchers and robot manufacturers, but like with child labor and sustainability, also means a raising of opportunity costs. The greater public awareness and pressure will become concerning this topic, the harder it will get for companies to conceal or justify violations. Therefore, from a certain point it will be cheaper for organizations to invest in sustainable technologies and accepted.

History of the concept The idea to set ethical standards for intelligent machines is not a new one and undoubtedly has its roots in science fiction literature. Even older is the discussion about ethics of intelligent, man-made creatures in general. Some of the earliest recorded examples can be found in Ovid's Metamorphoses, in Pygmalion, in the Jewish golem mysticism (12th century) as well as in the idea of Homunkulus (Latin: little man) arisen from the alchemy of the Late Middle Ages. The fundamental and philosophical question of these literary works is what will happen, if humans presume to create autonomous, conscious or even godlike creatures, machines, robots or androids. While most of the older works broach the issue of the act of creation, if it is morally appropriate and which dangers could arise, Isaac Asimov was the first to realize the necessity to restrict and regulate the freedom of action of machines. He wrote the first Three Laws of Robotics. At least since the use of drones equipped with air-to-ground missiles in 1995 that can be used against ground targets, like e.g., the General Atomics MQ-1, and the resulting collateral damage, the discussion on the international regulation of remote controlled, programmable and autonomous machines attracted public attention. Nowadays, this discussion covers the entire range of programmable, intelligent and/or autonomous machines, drones as well as automation technology combined with Big Data and artificial intelligence. Lately, well-known visionaries like Stephen Hawking, Elon Musk and Bill Gates brought the topic to the focus of public attention and awareness. Due to the increasing availability of small and cheap systems for public service as well as commercial and private use, the regulation of robotics in all social dimensions gained a new significance.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Robotic governance

Start with the simplest possible case. Write down what Robotic governance claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Robotic governance before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Robotic governance ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Robotic governance

In research
Robotic governance appears in engineering research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Robotic governance in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Robotic governance is common in secondary-school and first-year university syllabi. It links to neighbouring topics Robotics, so understanding it makes those chapters shorter.
In everyday life
Look for Robotic governance outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Robotic governance in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Robotic governance means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Robotic governance out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Robotic governance in simple terms?

Robotic governance provides a regulatory framework to deal with autonomous and intelligent machines. This includes research and development activities as well as handling of these machines.

Why does Robotic governance matter?

Because it connects several engineering ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Robotic governance?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Robotic governance.

Tags

  • Robotics

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